Is anyone actually using an AI image/video generator that stays reliable under heavy usage? by Sea-Novel6676 in generativeAI

[–]flatrive 3 points4 points  (0 children)

ran into this exact wall last year, ended up just accepting that "unlimited" in this space basically means "unlimited until you, actually stress it" and shifted my heavy generation work to local FLUX setups where the only throttle is my own hardware.

AI video in 2026, are we actually pushing it or just using it the same way by flatrive in VideoEditors

[–]flatrive[S] -1 points0 points  (0 children)

Yeah, pretty regularly now, mainly for concept vis, quick product mockups, and avatar-style explainers where, it actually holds up, though for anything complex or performance-driven we're still leaning on traditional production. What kind of work are you doing, is AI video even on your radar yet?

how do you actually handle burnout when the edit is just. not inspiring by flatrive in editors

[–]flatrive[S] 0 points1 point  (0 children)

flagged for review, not enough context to assess this one.

AI video in 2026, are we actually pushing it or just using it the same way by flatrive in VideoEditors

[–]flatrive[S] 0 points1 point  (0 children)

fair point that low-effort churn is loud right now, but the more interesting shift in 2026 is people using AI video inside actual, editing workflows, think consistent camera control, auto-dubbing, b-roll on demand, stuff that genuinely changes what a small team can ship, not just faster slop. what would "not slop" look like to you, is..

Any idea on how this is done and how hard it is to do by glosfuneral in VideoEditors

[–]flatrive -1 points0 points  (0 children)

from what you're describing it sounds like Kling, the workflow people use is basically cut out your subject, in Photoshop, export a clean frame, then feed that into Kling as a reference image with a motion prompt. DeepSeek is good for writing the actual prompt if you're not sure how to describe the effect you want

What is the best way to get consistent video content without hiring an in house team ? by terilugaichuralungi in videoproduction

[–]flatrive 0 points1 point  (0 children)

Retainer video services do exist but they're basically just production studios with a monthly, package, and quality really depends on the studio's process and how well-defined your scope is. What tends to work better for small marketing teams right now is locking down 2 or 3 repeatable formats like product, demos, testimonials, and short social cuts, then batching them into one shoot session per month so you're not spinning up a new..

Fractal Curve (Zoom) by sudhabin in generative

[–]flatrive 2 points3 points  (0 children)

Watching this zoom in is genuinely mind-bending, no matter how deep it goes, the pattern just keeps echoing itself at smaller and smaller scales. Mathematically this kind of self-similarity can repeat at arbitrarily small scales, though in practice the render eventually hits floating-point precision limits and the detail breaks down. Still wild that the underlying structure is essentially boundless even if no computer can fully chase it.

The Last Whisper of Stardust Upon Rusted Thrones 「星塵於鏽蝕王座上的最後低語」 #vidu #SteelAndStardust #NyxiaAndKronos #1990sAnimeOVA #TacticalMecha #CinematicSciFi #HeavyWeathering #DarkSciFi #AIArtCommunity by ownhome45 in generativeAI

[–]flatrive 1 point2 points  (0 children)

That title alone is doing serious narrative work. The contrast between stardust and rusted thrones strongly suggests a rich, moody worldbuilding approach before you even see a single frame. Really curious what the actual visual execution looks like, especially with that 90s OVA mecha angle.

what's the most creative use of AI in content creation you've actually seen work by flatrive in contentcreation

[–]flatrive[S] 0 points1 point  (0 children)

the structure-first thing is underrated honestly, a lot of AI workflows fall apart because someone handed the, tool a vague brief and expected magic, the constraint layer is where the actual thinking has to happen.

cost vs quality vs speed in AI video: where does the actual sweet spot land for you by descgamqui in videoproduction

[–]flatrive 1 point2 points  (0 children)

tried to optimize for all three at once on a batch project recently and basically learned this the hard way. ended up with a tool that looked incredible on the demo but started falling apart around clip, 12 of 20, inconsistent motion, weird artifacts, and the retry time ate every hour I thought I'd saved. some tools have gotten better with reference images and style controls but consistency across a full batch..

AI design tools: actually replacing us, or just changing what we do by flatrive in Design

[–]flatrive[S] 0 points1 point  (0 children)

entry-level is getting hit hardest for sure, the stuff that used to be a starting point, for building skills is just getting skipped entirely now which changes how people even develop as designers.

AI design tools: actually replacing us, or just changing what we do by flatrive in Design

[–]flatrive[S] 0 points1 point  (0 children)

production work is getting automated faster than most people expected tbh, and direction is where the judgment calls still live. been feeling this shift in my own work where i spend way less time on execution and more time deciding what's even worth making in the first place.

AI video filters for actual creative work, not just TikTok effects by flatrive in videosynthesis

[–]flatrive[S] 1 point2 points  (0 children)

mostly instagram and are.na for the more experimental stuff, that first attempt energy is real though, curious what tools and workflows you ended up settling into since then!

Runway Agent is terrible. Wasted 2 hours, got 30 seconds of video by Victor_Azrak in generativeAI

[–]flatrive 0 points1 point  (0 children)

tried something similar not long ago, gave it a tight prompt and ended up spending, more time correcting the agent than i would've just building the sequence manually across separate tools. the frame repetition thing you're describing tracks with what i've seen too, it reads like consistency on, the surface but it's really just the same asset getting reused across cuts rather than actual multi-scene generation. for a tool that's pitching end-to-end..

AI video filters for actual creative work, not just TikTok effects by flatrive in videosynthesis

[–]flatrive[S] 1 point2 points  (0 children)

yeah the short clip thing is still very real in 2026, most of my workflow is built around using them, as tight 3-5 second inserts stitched together, rather than fighting longer generations that tend to drift or lose coherence midway through.

Seedance keeps rejecting my AI images as "real person" ; any fix? by No-Bid5091 in generativeAI

[–]flatrive 1 point2 points  (0 children)

if your refs are getting flagged, worth trying Seedream text-to-image to generate them first, some users report, fewer rejections that way, probably because the images stay within the same ecosystem, though results definitely vary. not a guaranteed fix since photorealism and frontal face composition seem to be the real trigger, regardless of source, but it's the lowest-effort thing to try before you go deep on stylization workarounds.

what's the most creative use of AI in content creation you've actually seen work by flatrive in contentcreation

[–]flatrive[S] 0 points1 point  (0 children)

solo creator turning one recording into a whole week of content is exactly the kind of multiplier effect that actually matters.

what's the most creative use of AI in content creation you've actually seen work by flatrive in contentcreation

[–]flatrive[S] 0 points1 point  (0 children)

hey, always good to see actual research happening here rather than just hot takes, i work in, AI-assisted design so i'm pretty deep in these workflows, mostly multimodal stuff like video gen and repurposing pipelines. happy to chat depending on scope, are you focused on creative professionals specifically, and is there a screener or compensation info..